srfm-lab
Unverified Other strategy on Crypto by Mattbusel. BotFinder score 18 out of 100.
Multi-language quant research lab built on Special Relativity in Financial Modeling (SRFM): black-hole physics signal, backtesting with Monte Carlo, Alpaca paper trading and an aut
Source: github
BotFinder analysis pending.
srfm-lab
Project site · Quick start · The SRFM family · The physics · Reference SRFM Lab is a personal quantitative research lab built on Special Relativity in Financial Modeling. It treats each price bar as an event in spacetime: a bar whose move fits inside a "speed of light" c is timelike (ordered, causal), one that outruns it is spacelike. Runs of timelike bars accumulate mass, and when the mass crosses a threshold a black hole (a gravitational well) forms. Around that core sit backtesting with Monte Carlo, Alpaca paper trading and an automated idea-discovery loop, written across Python, Rust, Go, Julia, R, C/C++, Zig, Elixir and TypeScript. [!IMPORTANT] Research code, not financial advice. Backtest and paper-trading results are experiments on historical or simulated data. They are not evidence that any strategy is profitable, and nothing here should be used to trade real money without your own independent validation. This is a research monorepo, not a packaged product. Many subsystems are experiments, some directories hold generated output,
⚠ No verified equity curve — no track-record source connected.
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Verification ledger
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Recalculated at each data collection. Transparency means showing the bad weeks too.
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)